Dynamic Traffic Congestion Simulation and Dissipation Control Based on Traffic Flow Theory Model and Neural Network Data Calibration Algorithm
المؤلفون المشاركون
Yang, Jingfeng
Wang, Li
Li, Yong
Li, Zhifu
Lin, Shimin
Zhang, Nanfeng
Yang, Ji
Zhou, Handong
Yang, Feng
المصدر
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-11، 11ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-12-31
دولة النشر
مصر
عدد الصفحات
11
التخصصات الرئيسية
الملخص EN
Traffic congestion is a common problem in many countries, especially in big cities.
At present, China’s urban road traffic accidents occur frequently, the occurrence frequency is high, the accident causes traffic congestion, and accidents cause traffic congestion and vice versa.
The occurrence of traffic accidents usually leads to the reduction of road traffic capacity and the formation of traffic bottlenecks, causing the traffic congestion.
In this paper, the formation and propagation of traffic congestion are simulated by using the improved medium traffic model, and the control strategy of congestion dissipation is studied.
From the point of view of quantitative traffic congestion, the paper provides the fact that the simulation platform of urban traffic integration is constructed, and a feasible data analysis, learning, and parameter calibration method based on RBF neural network is proposed, which is used to determine the corresponding decision support system.
The simulation results prove that the control strategy proposed in this paper is effective and feasible.
According to the temporal and spatial evolution of the paper, we can see that the network has been improved on the whole.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Wang, Li& Lin, Shimin& Yang, Jingfeng& Zhang, Nanfeng& Yang, Ji& Li, Yong…[et al.]. 2017. Dynamic Traffic Congestion Simulation and Dissipation Control Based on Traffic Flow Theory Model and Neural Network Data Calibration Algorithm. Complexity،Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1143001
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Wang, Li…[et al.]. Dynamic Traffic Congestion Simulation and Dissipation Control Based on Traffic Flow Theory Model and Neural Network Data Calibration Algorithm. Complexity No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1143001
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Wang, Li& Lin, Shimin& Yang, Jingfeng& Zhang, Nanfeng& Yang, Ji& Li, Yong…[et al.]. Dynamic Traffic Congestion Simulation and Dissipation Control Based on Traffic Flow Theory Model and Neural Network Data Calibration Algorithm. Complexity. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1143001
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1143001
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر